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Dive into the research topics where Abdullah Murad is active.

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Featured researches published by Abdullah Murad.


acm multimedia | 2015

Crowdsourced Multimedia Enhanced Spatio-temporal Constraint Based on-Demand Social Network for Group Mobility

Bilal Sadiq; Md. Abdur Rahman; Abdullah Murad; Muhammad Shahid; Faizan Ur Rehman; Ahmed Lbath; Akhlaq Ahmad; Ahmad M. Qamar

This paper presents a system that enables efficient and scalable real-time user and vehicle discovery using textual, audio and video mechanisms. The system allows users to group together for shared intra-city transportation with the aid of multimedia that helps individuals to 1) find community of common interest (CoCI), 2) locate individual users in a large crowd and 3) locate vehicles for mobility in an efficient and cost effective manner. The system is a pilot project and will be deployed during Hajj 2015 when over three million pilgrims from all over the world visit Makkah, Saudi Arabia.


acs/ieee international conference on computer systems and applications | 2015

A constraint-aware optimized path recommender in a crowdsourced environment

Faizan Ur Rehman; Ahmed Lbath; Bilal Sadiq; Md. Abdur Rahman; Abdullah Murad; Imad Afyouni; Akhlaq Ahmad; Saleh M. Basalamah

Recommending an optimized path for a large crowd poses a unique challenge to existing routing algorithms due to the interactions between users and the dynamic changes over road networks. Industries, researchers and end users show an enormous interest in crowdsourced data comprising social networks and user-generated content to remain updated with their concerns. In this paper, we present a data collection framework that helps users to find optimized routes in a dynamic environment. We have developed a data collection framework to collect dynamic road conditions via a set of location-based services to support a very large Hajj crowd by capturing their locations using smartphones. We also collect geotagged social network data that provides more details about road conditions. The system leverages geotagged crowdsourced information to identify constraints such as accidents, congestions, and roadblocks. Moreover, by continuously collecting real-time geotagged data of moving users, the system can also find the flow of traffic and road conditions. We propose a spatial grid index to compute the optimized path, and to identify the affected users within impact zones. The plan is to test the whole application and back-end server during Hajj 2016, where over three million pilgrims from all over the world gather to perform their rituals.


hawaii international conference on system sciences | 2014

Enabling Patient Information Handoff from Pre-hospital Transport Providers to Hospital Emergency Departments: Design-Science Approach to Field Testing

Abdullah Murad; Benjamin L. Schooley; Thomas A. Horan; Yousef Abed

The transfer of complete patient information between EMS personnel and hospitals ED staff is a major challenge in emergency medical care. This study used a design science methodology to design, demonstrate in use, and field test a mobile and web based EMS software solution that provides textual and multimedia information for emergency responses. The system was field tested for a period of three months in rural Minnesota. A mixed method approach was employed to assess the system use and perceptions of value in patient handoff. Data was drawn from system log files over a 3-month period and in-depth interviews conducted at the end of the study with an equal number of representatives from EMS personnel and ED staff. Findings suggest the use of mobile and web based EMS solutions may be more appropriate in rural settings with long transport times and for more sever incidents - where participants found value in the use of information for patient pre-registrations and early notifications. A systematic longer-term testing of clinical use of the system is suggested as the next step in further demonstrating the value of such a mobile solution.


intelligent user interfaces | 2017

Motion-Based Serious Games for Hand Assistive Rehabilitation

Imad Afyouni; Ahmad M. Qamar; Syed Osama Hussain; Faizan Ur Rehman; Bilal Sadiq; Abdullah Murad

Cerebral Palsy, trauma, and strokes are common causes for the loss of hand movements and the decrease in muscle strength for both children and adults. Improving fine motor skills usually involves the synchronization of wrists and fingers by performing appropriate tasks and activities. This demo introduces a novel patient-centered framework for the gamification of hand therapies in order to facilitate and encourage the rehabilitation process. This framework consists of an adaptive therapy-driven 3D environment augmented with our motion-based natural user interface. An intelligent game generator is developed, which translates the patients gestures into navigational movements with therapy-driven goals, while adapting the level of difficulty based on the patient profile and real-time performance. A comprehensive evaluation and clinical-based assessments were conducted in a local children disability center, and highlights of the results are presented.


User Modeling and User-adapted Interaction | 2017

A therapy-driven gamification framework for hand rehabilitation

Imad Afyouni; Faizan Ur Rehman; Ahmad M. Qamar; Sohaib Ghani; Syed Osama Hussain; Bilal Sadiq; Mohamed Abdur Rahman; Abdullah Murad; Saleh M. Basalamah

Rehabilitative therapy is usually very expensive and confined to specialized rehabilitation centers or hospitals, leading to slower recovery times for corresponding patients. Therefore, there is a high demand for the development of technology-based personalized solutions to guide and encourage patients towards performing online rehabilitation program that can help them live independently at home. This paper introduces an innovative e-health framework that develops adaptive serious games for people with hand disabilities. The aim of this work is to provide a patient-adaptive environment for the gamification of hand therapies in order to facilitate and encourage rehabilitation issues. Theoretical foundations (i.e., therapy and patient models) and algorithms to match therapy-based hand gestures to navigational movements in 3D space within the serious game environment have been developed. A novel game generation module is introduced, which translates those movements into a 3D therapy-driven route on a real-world map and with different levels of difficulty based on the patient profile and capabilities. In order to enrich the user navigation experience, a 3D spatio-temporal validation region is also generated, which tracks and adjusts the patient movements throughout the session. The gaming environment also creates and adds semantics to different types of attractive and repellent objects in space depending on the difficulty level of the game. Relevant benchmarks to assess the patient interaction with the environment along with a usability and performance testing of our framework are introduced to ensure quantitative as well as qualitative improvements. Trial tests in one disability center were conducted with a total number of five subjects, having hand motor controls problems, who used our gamified physiotherapy solution to help us in measuring the usability and users’ satisfaction levels. The obtained results and feedback from therapists and patients are very encouraging.


acm multimedia | 2015

A Multi-sensory Gesture-Based Login Environment

Ahmad M. Qamar; Abdullah Murad; Mohamed Abdur Rahman; Faizan Ur Rehman; Akhlaq Ahmad; Bilal Sadiq; Saleh M. Basalamah

Logging on to a system using a conventional keyboard may not be feasible in certain environments, such as, in a surgical operation theatre or in an industrial manufacturing facility. We have developed a multi-sensory gesture based login system that allows a user to access secure information using body gestures. The system can be configured to use different types of gestures according to the type of sensors available to the user. We have proposed a simple scheme to represent all alphanumeric characters required for password entry as gestures within the multi-sensory environment. Our scheme is scalable enough to support sensors that detect a large number of gestures to those that can only accept a few. This allows the system to be used in a variety of situations such as usage by disabled persons with limited ability to perform gestures. We are in the midst of deploying our developed system in a clinical environment.


workshop on location-based social networks  | 2015

ST-Diary: A Multimedia Authoring Environment for Crowdsourced Spatio-Temporal Events

Akhlaq Ahmad; Imad Afyouni; Abdullah Murad; Md. Abdur Rahman; Faizan Ur Rehman; Bilal Sadiq; Saleh M. Basalamah; Mohamed Ridza Wahiddin


international conference on big data | 2015

A spatio-temporal multimedia big data framework for a large crowd

Bilal Sadiq; Faizan Ur Reliman; Akhlaq Ahmad; Md. Abdur Rahman; Sohaib Ghani; Abdullah Murad; Saleh M. Basalamah; Ahmad Lbath


advances in geographic information systems | 2015

Semantic multimedia-enhanced spatio-temporal queries in a crowdsourced environment

Faizan Ur Rehman; Ahmed Lbath; Imad Afyouni; Abdullah Murad; Md. Abdur Rahman; Bilal Sadiq; Akhlaq Ahmad; Saleh M. Basalamah


acm multimedia | 2015

i-Diary: A Crowdsource-based Spatio-Temporal Multimedia Enhanced Points of Interest Authoring Tool

Akhlaq Ahmad; Faizan Ur Rehman; Md. Abdur Rahman; Abdullah Murad; Ahmad M. Qamar; Bilal Sadiq; Saleh M. Basalamah; Mohamed Ridza Wahiddin

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Bilal Sadiq

Umm al-Qura University

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Thomas A. Horan

Claremont Graduate University

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Yousef Abed

Claremont Graduate University

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Ahmed Lbath

University of Grenoble

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Benjamin L. Schooley

University of South Carolina

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